Triple

T2116781
Position Surface form Disambiguated ID Type / Status
Subject Follow the Fleet E43826 entity
Predicate director P255 FINISHED
Object Mark Sandrich E224389 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mark Sandrich | Statement: [Follow the Fleet, director, Mark Sandrich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Sandrich
Context triple: [Follow the Fleet, director, Mark Sandrich]
  • A. Mark Sandrich chosen
    Mark Sandrich was an American film director best known for his classic 1930s Hollywood musicals starring Fred Astaire and Ginger Rogers.
  • B. Paul Cantelon
    Paul Cantelon is an American composer and multi-instrumentalist known for his film scores and work blending classical, jazz, and world music influences.
  • C. Judd Vinet
    Judd Vinet is a Canadian software developer best known as the founder and original creator of the Arch Linux operating system.
  • D. Mike Luckovich
    Mike Luckovich is an American editorial cartoonist renowned for his sharp political commentary and award-winning work in major newspapers.
  • E. Craig Bierko
    Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb2dfd3c81909b5e2996bc324301 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d8bffd0819095629956f9584222 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:43 p.m.